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2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)最新文献

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A Novel Speech to Sign Communication Model for Gujarati Language 一种新的古吉拉特语语手语交流模式
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544635
Nasrin Aasofwala, Shanti Verma, Kalyani Patel
Deaf Culture is important for deaf community as it is everywhere in the world. Deaf people are using Visual language (Sign language) for communicating. There are around 300 different types of sign languages are available in the globe like British Sign Language, Indonesian Sign Language, American sign language, etc. Each sign language has its own syntax and semantics. Some sign languages are using one hand gesture, some are using two hand gesture as they have their own rules for communication. There is a need of one standard form of sign language so it will be easier to understand. There are so many challenges and problems are facing by deaf community. Different sign languages are provided different solutions for speech to sign language and sign language to speech conversion. As there is no solution is provided by anyone for Gujarati Sign Language, we proposed a one communication model for Speech to Sign language. Speech will be recognized and convert into text, text will give the HamNoSys Notation (Sign language Notation) from a database and then it converts in SiGML format and then it display a sign animation (Avatar). That model will be helpful to Gujarat region deaf and dumb people for communicating with normal people.
聋人文化对聋人社区很重要,因为它在世界各地都是如此。聋哑人使用视觉语言(手语)进行交流。全球大约有300种不同类型的手语,如英国手语、印度尼西亚手语、美国手语等。每种手语都有自己的语法和语义。有些手语使用一个手势,有些使用两个手势,因为他们有自己的交流规则。需要一种标准形式的手语,这样更容易理解。聋人社区面临着许多挑战和问题。不同的手语为语音到手语和手语到语音的转换提供了不同的解决方案。由于古吉拉特手语没有解决方案,我们提出了一个语音到手语的单一通信模型。语音将被识别并转换为文本,文本将从数据库中给出HamNoSys符号(手语符号),然后转换为SiGML格式,然后显示符号动画(Avatar)。这种模式将有助于古吉拉特邦聋哑人与正常人交流。
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引用次数: 1
Machine Learning Techniques for Prediction of Mental Health 预测心理健康的机器学习技术
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9545061
Tarun Jain, Ashish Jain, Priyank Singh Hada, Horesh Kumar, V. Verma, Aayush Patni
Suicide is the 2nd leading cause of death in the world, for those aged 15-24 and about 800,000 victims of suicide yearly (all age), which is about 40 per second. Behavioural health disorder, explicitly depression, are the type of health concerns, not many are aware of. There is no way one can get treatment of something they are not aware of. So, classifying potential health disordered person is the first step towards prevention. Lifestyle is something which defines individual the best. Lifestyle including Income, age group, martial status, child, property owned, alcohol or tobacco consumption, medical expenditure, insurance or other type of investment and many more. Using 76 such kind of attributes, model will predict if the individual is victim of depression or not. The proposed model has used eight mainstream ML calculation methods, namely (Decision tree (DT), Random Forest(RF), Support Vector Machine(SVM), Naïve Bayes(NB), Logistic Regression(LR), XGBoost(XGB), Gradient Boosting Classifier(GBC) and Artificial Neural Network(ANN) to build up the expectation models utilizing a huge dataset (1429 individual's survey), bringing about precise and productive dynamics. By using various strategies and different model, this research work has attempted to get a clear and precise picture. The reason to follow various approaches is that, precise the information, work in a better way and reduce the number of suicide case. The final outcome received was 87.38 percent, which was using Support Vector Machine (SVM).
自杀是世界上15-24岁人群死亡的第二大原因,每年约有80万人(所有年龄段)自杀,约每秒40人。行为健康障碍,特别是抑郁症,是一种健康问题,但没有多少人意识到这一点。一个人不可能在没有意识到的情况下得到治疗。因此,对潜在的健康障碍人群进行分类是预防的第一步。生活方式是对个人最好的定义。生活方式包括收入、年龄组、婚姻状况、子女、拥有的财产、酒精或烟草消费、医疗支出、保险或其他类型的投资等等。利用76个这样的属性,模型可以预测个体是否患有抑郁症。该模型采用决策树(DT)、随机森林(RF)、支持向量机(SVM)、Naïve贝叶斯(NB)、逻辑回归(LR)、XGBoost(XGB)、梯度增强分类器(GBC)和人工神经网络(ANN)等8种主流机器学习计算方法,利用庞大的数据集(1429个个体的调查)建立期望模型,带来精确和高效的动态。本研究工作采用了多种策略和不同的模型,试图得到一个清晰而准确的图景。遵循各种方法的原因是,精确的信息,以更好的方式工作,减少自杀案件的数量。使用支持向量机(SVM),最终获得87.38%的结果。
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引用次数: 13
A Weibo Recommendation Algorithm Integrating User Interests 一种融合用户兴趣的微博推荐算法
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544678
Xiaojing Zhu
A Weibo recommendation algorithm integrating user interests is studied in this manuscript. Among the algorithms based on content similarity recommendation, the LDA algorithm is one of the most used and classic algorithms. Therefore, this paper uses the LDA algorithm to mine the user interest distribution and uses the cosine similarity algorithm to calculate the similarity between the general microblog to be recommended and the user's interest. The proposed algorithm is designed by considering the similarity of user interest based on the semantic level and the similarity of the social relationship based on the follow relationship are then considered, a better recommendation effect can be achieved. To validate the model, the proposed algorithm is simulated on the data collected from the Weibo. The accuracy is higher than before.
本文研究了一种融合用户兴趣的微博推荐算法。在基于内容相似度推荐的算法中,LDA算法是应用最广泛、最经典的算法之一。因此,本文使用LDA算法挖掘用户兴趣分布,并使用余弦相似度算法计算待推荐的一般微博与用户兴趣之间的相似度。本文提出的算法是基于语义层面考虑用户兴趣的相似度,然后考虑基于关注关系的社会关系的相似度,从而达到更好的推荐效果。为了验证该模型,对微博数据进行了仿真。精度比以前高。
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引用次数: 0
Design and Fabrication of 3-RPS Robot - Rack and Pinion Mechanism 3-RPS机器人齿轮齿条机构的设计与制造
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544519
Himanshu V Vairagade, Vivek Gurve, Neema Ukani, Sandeep R Sonaskar, S. Chakole
Parallel Manipulator is one of the trending research topics in the field of robotics. Recently, the 3-RPS parallel manipulator is widely being used for novel applications. Conventionally, the prismatic actuation is implemented using pneumatic drives. In this paper, a rack and pinion mechanism for prismatic link actuation is proposed. Three different modes of operations and two methods for controls are proposed. To validate the kinematic analysis of this configuration a MATLAB model is developed. To compare the numerical and experimental micro-manipulations two test cases are designed and results are compared.
并联机器人是机器人领域的研究热点之一。近年来,3-RPS并联机器人被广泛应用于新的领域。传统上,棱镜驱动是使用气动驱动来实现的。本文提出了一种用于驱动圆柱连杆的齿轮齿条机构。提出了三种不同的操作模式和两种控制方法。为了验证该结构的运动学分析,建立了MATLAB模型。为了比较数值微操作和实验微操作,设计了两个测试用例,并对结果进行了比较。
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引用次数: 0
An Imperfect SRGM based on NHPP 基于NHPP的不完善SRGM
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544959
Md. Asraful Haque, N. Ahmad
SRGMs (Software Reliability Growth Models) are the probabilistic and statistical models widely used to evaluate software reliability. They explain how the reliability of the software varies over time by investigating failure data as the testing progresses. The paper presents a new SRGM in an imperfect debugging environment. The proposed model considers that with time, the fault detection rate will increase gradually. Also, the new model is tested with a real dataset that is available in public domain and compared the results with seven existing models in terms of four goodness-of-fit criteria.
软件可靠性增长模型(SRGMs)是一种广泛用于软件可靠性评估的概率和统计模型。他们通过调查测试过程中的故障数据来解释软件的可靠性如何随时间变化。本文提出了一种不完善调试环境下的新型SRGM。该模型考虑了随着时间的推移,故障检出率会逐渐增大。此外,新模型用公共领域的真实数据集进行了测试,并根据四个拟合优度标准将结果与七个现有模型进行了比较。
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引用次数: 2
A Novel Framework for Facemask Detection Using R-Convolution Neural Network 一种基于r -卷积神经网络的面罩检测新框架
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544775
Ch. V. Bhargavi, G. Mani, Naresh Cherukuri, C. Prasad, Azmira Krishna, C. Z. Basha
Covid-19 virus has changed the total life style of human beings. This coivd-19 started in the country china and spread all over the world. World health organization (WHO) suggested the face masks to be covered which can reduce the spread of corona virus. All countries made it compulsory to wear masks to cut-off the covid spread. Hence detection of wearing masks or not has become an important area to work on for computer vision. Many woks are being done on face mask detection, but mostly basis on the classification of mask and no-mask. Here in this paper. a novel approach is proposed which not only classifies mask and no-mask people, but also identifies whether a mask is properly covered or not. Thus in this paper use of R-CNN (Convolution Neural Network) is proposed which results to achieve an accuracy up to 0.93.
新冠病毒彻底改变了人类的生活方式。这场新冠肺炎始于中国,并蔓延到世界各地。世界卫生组织(WHO)建议戴上口罩,以减少冠状病毒的传播。所有国家都强制要求佩戴口罩,以阻止新冠病毒的传播。因此,是否戴口罩的检测已成为计算机视觉研究的重要领域。在口罩检测方面做了很多工作,但主要是基于口罩和无口罩的分类。就在这张纸上。提出了一种新的方法,不仅可以对戴口罩和不戴口罩的人进行分类,而且可以识别口罩是否正确覆盖。因此,本文提出了使用R-CNN(卷积神经网络),其结果达到了0.93的准确率。
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引用次数: 0
The Graph - A Decentralized Query Protocol for Block chain Technology 图——区块链技术的去中心化查询协议
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544920
B. Babu, Poojitha Tatineni, L. I, C. Prasad, Hema Chindu, Bala Bhaskara Rao Emani
This research work introduces a novel Decentralized Query Protocol called “The Graph” for indexing and caching data from blockchain and other such storage networks. This research work describes the query interface, topology of P2P network, economic incentives and mechanisms that are designed to keep the network running as a public utility. This research work will probably deliver “The Graph” across three significant improvement achievements. The primary delivery will be a free help that any dApp engineer can enlist to utilize. It will incorporate stable interfaces for characterizing the Schema, enrolling Mappings, and questioning with GraphQL. Dispatching first as a brought together help will permit us to emphasize on the plan, execution, and financial motivations at a quicker rate. The subsequent achievement will be the dispatch of the full P2P network. After this delivery, anybody will actually want to run a Graph Node and acquire Graph Tokens for taking part in the organization. This is the stage at which the Query Marketplace just as the Indexing and Caching Marketplace will be opened. The third significant delivery will incorporate help for Private Data. Private Data is secured on-chain however scrambled and constrained by clients.
这项研究工作引入了一种名为“The Graph”的新型分散查询协议,用于索引和缓存来自区块链和其他此类存储网络的数据。本研究工作描述了P2P网络的查询接口、拓扑结构、经济激励和机制,旨在保持网络作为公用事业运行。这项研究工作可能会在三个重要的改进成果上提供“图表”。主要交付将是一个免费的帮助,任何dApp工程师都可以申请使用。它将包含稳定的接口,用于描述Schema、注册映射和使用GraphQL进行查询。首先派遣作为一个集合的帮助将使我们能够以更快的速度强调计划,执行和财务动机。后续的成果将是全P2P网络的调度。在此交付之后,任何人都将真正想要运行Graph Node并获得Graph令牌以参与组织。在这个阶段,查询市场就像索引和缓存市场一样将被打开。第三个重要的交付将包括对私有数据的帮助。私有数据在链上得到保护,但受到客户端的干扰和约束。
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引用次数: 1
Utilization of Nominal Group Technique for Cloud Computing Risk Assessment and Evaluation in Healthcare 名义群技术在医疗保健云计算风险评估中的应用
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544895
G. C. Kumar, D. Prasad, V. Rao, N. Sai
The emergence of distributed computing with adaptability, improved access to information and cost savings makes this innovation available and rapidly developing. Due to the rise in distributed computing, companies are turning to used distributed computing. Despite the fact that distributed computing offers countless benefits to customers, the above review reveals that the entry of distributed computing to healthcare remains low. With a compelling cloud risk assessment system, cloud customers will get assurance from this innovation. Study on the approach to assessing the dangers of the cloud that is still an infant and the complexity of distinguishing the security dangers that are actually being discussed. This article investigates the hazard assessment measure by introducing the technique into the hazard assessment measure. The hazard assessment is a key step in the hazard assessment measurement. Analyze the outcome of the hazard investigation measure and decide whether to recognize or support the hazard rules to resolve the hazard review. From our investigation, the NGTechinque is familiarized with thinking about examining the dangers that the previous stage causes. Since the hazard assessment depends on the authorized destinations, the internal and external environment and the perspectives of the partners, NGT promises convincing results. Not only does this review add to the focus on synthesizing dangers and dangers in a systematic way, but implicitly, the NGT measure makes partners which are aware of the current threatening circumstances for security cloud in the partnership. Equivalent freedom of communication is seen in this center which fulfills expectations and can produce a splendid disposition in the results of the risk assessment.
分布式计算的出现,具有适应性、改进的信息访问和成本节约,使这种创新成为可能并迅速发展。由于分布式计算的兴起,公司正在转向使用分布式计算。尽管分布式计算为客户提供了无数好处,但上述回顾显示,分布式计算进入医疗保健领域的机会仍然很低。有了令人信服的云风险评估系统,云客户将从这一创新中获得保障。研究评估云的危险的方法,它仍然是一个婴儿,以及区分安全危险的复杂性,实际上正在讨论。本文将该技术引入到危害评价措施中,对危害评价措施进行了探讨。危害评价是危害评价测量的关键环节。分析危害调查措施的结果,决定是否承认或支持危害规则以解决危害评审。从我们的调查来看,ngtechnique熟悉思考检查前一阶段造成的危险。由于危害评估取决于授权目的地、内部和外部环境以及合作伙伴的观点,因此NGT承诺得出令人信服的结果。这种审查不仅增加了对系统地综合危险和危险的关注,而且隐含地,NGT措施使合作伙伴意识到合作伙伴关系中安全云的当前威胁环境。在这个中心可以看到同样的交流自由,它满足了人们的期望,并可以在风险评估的结果中产生出色的处置。
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引用次数: 0
A proximity aware android SOS application in times of pandemic 一个接近感知的安卓SOS应用程序在大流行时期
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544810
G. Gupta, M. Pavan, K. S. Ruthwik, M. Revanth, A. T
Our globe is being impacted by a variety of calamities, some of which are natural and others which are manmade. The past decades have witnessed the occurrence of many types of natural and man-made disasters like Earthquakes, Tsunamis, Wildfires, EBOLA outbreak and currently COVID-19. These disasters have been claiming a lot of lives and in fact the number is very huge. Some lives could be saved if there is a better and faster aid in terms of help or immediate response from the officials or people nearby. Natural disasters cannot be controlled by humans but the number of deaths in other types of disasters could be controlled by us. Mainly, due to EBOLA and COVID-19 many people lost their lives because of lack of immediate support and aid. More than 10,000 deaths were accounted for by the EBOLA outbreak and now due to COVID-19, one of the most destructive viruses that ever lived on the earth, recorded figures much higher than that of EBOLA, nearly 3.17 million people left this world as of now. Now in this pandemic situation many are losing their lives because of the scarcity in medical equipment and also no proper transportation especially ambulance service. To overcome this situation this application supports the person who needs help by sending emergency alerts to the surrounding people for seeking help. This SOS application is capable of saving many lives through which an immediate aid and support can be obtained from the nearby people.
我们的地球正受到各种灾难的影响,其中一些是自然的,另一些是人为的。过去几十年,地震、海啸、野火、埃博拉疫情以及当前的新冠肺炎疫情等多种自然灾害和人为灾害不断发生。这些灾难夺去了很多人的生命,实际上死亡人数非常多。如果有更好、更快的援助,或者从官员或附近的人那里得到及时的反应,一些生命是可以挽救的。自然灾害不能由人类控制,但其他类型灾害的死亡人数可以由我们控制。主要是由于埃博拉和COVID-19,许多人因缺乏及时的支持和援助而丧生。埃博拉疫情造成1万多人死亡,现在由于地球上最具破坏性的病毒之一COVID-19的死亡人数远远超过埃博拉病毒,到目前为止,已有近317万人离开了这个世界。现在,在这种大流行的情况下,由于医疗设备短缺和没有适当的交通工具,特别是救护车服务,许多人正在失去生命。为了克服这种情况,该应用程序通过向周围的人发送紧急警报以寻求帮助来支持需要帮助的人。这个SOS应用程序能够挽救许多生命,通过它可以从附近的人那里获得即时的援助和支持。
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引用次数: 1
Analysis of the role of Transforming Growth Factor Beta (TGF-B) Receptors in Colorectal Cancer (CRC)-A bio-molecular networking approach 转化生长因子β (TGF-B)受体在结直肠癌(CRC)中的作用分析-生物分子网络方法
Pub Date : 2021-09-02 DOI: 10.1109/ICIRCA51532.2021.9544516
Bhavani H N, R. V, P. K. Namboori
Colorectal cancer is a type of cancer which affects colon and rectum and it is one among the prominent cause of mortality due to cancer. Drugs are developed to cure colorectal cancer after rigorous process of clinical trials, but efficiency of drug or survival rate remains low. Analysis of interactions between proteins and drugs through network study helps in discovering uncovered interaction between proteins in a pathway. Colorectal cancer can affect the digestive tract lower end can begin with non-cancerous polyps with no symptoms, but these polyps can be detected by screening. The symptoms may vary from person to person depends upon the location of cancer, some may affect with irregular bowel habits, blood in stool, and abdominal irritation. The treatment of cancer also banks on the location of cancer which includes removal of tumor, surgery or radiation and chemotherapy. Proposed approach describes about cytoscape analysis in the genes. Analysis explores the inhibition of protein present in the TGB which can prevent the tumor in the network.
结直肠癌是一种影响结肠和直肠的癌症,是癌症导致死亡的主要原因之一。虽然经过严格的临床试验,开发出了治疗大肠癌的药物,但药物的疗效和生存率仍然很低。通过网络研究分析蛋白质与药物之间的相互作用有助于发现途径中蛋白质之间未被发现的相互作用。结直肠癌可以影响消化道下端,可以从无症状的非癌性息肉开始,但这些息肉可以通过筛查检测出来。症状可能因人而异,取决于癌症的位置,有些可能会影响排便习惯不规则,便血和腹部刺激。癌症的治疗也取决于癌症的位置,包括切除肿瘤、手术或放疗和化疗。该方法描述了基因的细胞景观分析。分析TGB中存在的抑制蛋白在网络中对肿瘤的抑制作用。
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引用次数: 0
期刊
2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)
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